Remote Computer Vision Engineer - Part-Time Contract

ixolabs.ai; France; À distance; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Remote work

Résumé du poste

ixolabs.ai is seeking a highly experienced Computer Vision Engineer for AI training to develop vision code from OpenCV preprocessing to transformer-based detection. You will generate and judge instruction-response pairs across classification, detection, segmentation, and tracking tasks.

You will review CV code with PyTorch, TensorFlow, OpenCV, and ONNX, and provide feedback on training pipelines, data augmentation, and label quality. Remote, client-friendly, flexible hours.

Qualifications

• 5+ years in computer vision research or production engineering.
• Deep familiarity with PyTorch and at least one production CV framework.
• Strong grasp of classical image processing and modern deep CV architectures.
• Experience deploying CV models on edge devices, GPUs, or in cloud.
• Comfort with COCO/YOLO/Pascal data formats and annotation tools.
• Familiarity with multimodal models (CLIP, SAM, BLIP) is a plus.

Responsabilités

• Generate and evaluate instruction-response pairs covering classification, detection, segmentation, and tracking.
• Review AI-generated CV code using PyTorch, TensorFlow, OpenCV, and ONNX.
• Provide feedback on training pipelines, data augmentation, and label-quality issues.
• Validate AI handling of vision transformers, YOLO variants, and SAM-style models.
• Evaluate inference deployment (TensorRT, OpenVINO, CoreML, mobile NPUs).
• Identify subtle issues in coordinate systems, color spaces, and dataset bias.

Connaissances

PyTorch

OpenCV

CV Frameworks

Edge deployment

COCO/YOLO data formats

Multimodal models

Outils

TensorRT

OpenVINO

CoreML

Description du poste

ixolabs.ai is seeking a highly experienced Computer Vision Engineer for AI training to develop vision code from OpenCV preprocessing to transformer-based detection. You will generate and judge instruction-response pairs across classification, detection, segmentation, and tracking tasks.

You will review CV code with PyTorch, TensorFlow, OpenCV, and ONNX, and provide feedback on training pipelines, data augmentation, and label quality. Remote, client-friendly, flexible hours.